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ICE Princess25 [194]
3 years ago
5

Jonas is given a test question asking him to show that the sum of two odd integers is always an even integer. Which choice is th

e best proof of his conjecture?
Every time you add two odd numbers, the sum is an even number.



Look at these different examples: 5 + 3 = 8, 15 + 7 = 22, 21 + 13 = 34. So the sum of two odd numbers must be even.



Let a and b both represent odd numbers, and let a + b be an even number. Therefore, a + b = b + a, which shows that the sum of two odd numbers is even.



Let (2a + 1) be one odd number, and let (2b + 1) be the other odd number. (2a + 1) + (2b + 1) = 2a + 2b + 2 = 2(a + b + 1). Because 2(a + b + 1) is a multiple of 2, it is an even number.
Mathematics
1 answer:
VashaNatasha [74]3 years ago
4 0

Answer:

Let (2a + 1) be one odd number, and let (2b + 1) be the other odd number. (2a + 1) + (2b + 1) = 2a + 2b + 2 = 2(a + b + 1). Because 2(a + b + 1) is a multiple of 2, it is an even number.

Step-by-step explanation

When you multiply any number by two, it becomes even. Also, if you divide any number by two without a remainder, it is even. For this case

Let (2a + 1) be one odd number, and let (2b + 1) be the other odd number. (2a + 1) + (2b + 1) = 2a + 2b + 2 = 2(a + b + 1). Because 2(a + b + 1) is a multiple of 2, it is an even number.

Substituting any odd number in a and b gives you an even number

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Solve each system of equation algebraically<br> y=x+2<br> y=-3x
algol [13]
Try this solution:
\left \{ {{y=x+2} \atop {y=-3x}} \right.  \ =\ \textgreater \  \  \left \{ {{-3x=x+2} \atop {y=x+2}} \right. \ =\ \textgreater \  \  \left \{ {{y=2- \frac{1}{2}} \atop {x=- \frac{1}{2}}} \right. \ =\ \textgreater \  \  \left \{ {{y= \frac{3}{2}} \atop {x=- \frac{1}{2}}} \right.
4 0
3 years ago
Read 2 more answers
It has been reported that the probability that an individual will develop schizophrenia over their lifetime is 0.004. In a rando
Alinara [238K]

Answer:

Null hypothesis:p=0.004  

Alternative hypothesis:p \neq 0.004  

z=\frac{0.00567 -0.004}{\sqrt{\frac{0.004(1-0.004)}{3000}}}=1.449  

p_v =2*P(z>1.149)=0.2506

So the p value obtained was a very high value and using the significance level given \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion if individuals that developed schizophrenia its not significantly different from 0.004.  

Step-by-step explanation:

1) Data given and notation

n=3000 represent the random sample taken

X=17 represent the individuals developed schizophrenia in the sample

\hat p=\frac{17}{3000}=0.00567 estimated proportion of individuals developed schizophrenia in the sample

p_o=0.004 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that true proportion of people who will develop schizophrenia is different from 0.004:  

Null hypothesis:p=0.004  

Alternative hypothesis:p \neq 0.004  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

3) Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.00567 -0.004}{\sqrt{\frac{0.004(1-0.004)}{3000}}}=1.449  

4) P value

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level provided \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a bilateral test the p value would be:  

p_v =2*P(z>1.149)=0.2506

5) Decision

So the p value obtained was a very high value and using the significance level given \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion if individuals that developed schizophrenia its not significantly different from 0.004.  

4 0
4 years ago
11. What is the sign of the product of any odd number of
ioda

<u>Explanation:</u>

The sign of the product of any odd number of negative integers is positive because when two minuses are multiplied with each other, it will result in a positive number.

<u>For example:</u>

  • -3 x -5
  • => -1 x -1 x (3 x 5)
  • => 1 x (3 x 5)
  • => 15 (Which is positive)

Hoped this helped!

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3 years ago
Make y the subject of each of y-p=m​
Serga [27]

Answer:

y=m+p

Step-by-step explanation:

take the p to the other side.

p crosses = sighn and becomes +

hence ans = y=m+ p

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kupik [55]

Step-by-step explanation:

a) 2(32-4j+8k-jk)

b)a(3a-ab+3c -bc)

c)m(2m - mn + 2n - n^2)

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